article

FocusALL: Focal Stacking of Microscopic Images Using Modified Harris Corner Response Measure

Authors:

Madhu S. Sigdel,

Ramazan S. AygunAuthors Info & Claims

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 13, Issue 2

Pages 326 - 340

https://doi.org/10.1109/TCBB.2015.2459685

Published: 01 March 2016 Publication History

Abstract

Automated image analysis of microscopic images such as protein crystallization images and cellular images is one of the important research areas. If objects in a scene appear at different depths with respect to the camera's focal point, objects outside the depth of field usually appear blurred. Therefore, scientists capture a collection of images with different depths of field. Focal stacking is a technique of creating a single focused image from a stack of images collected with different depths of field. In this paper, we introduce a novel focal stacking technique, FocusALL, which is based on our modified Harris Corner Response Measure. We also propose enhanced FocusALL for application on images collected under high resolution and varying illumination. FocusALL resolves problems related to the assumption that focus regions have high contrast and high intensity. Especially, FocusALL generates sharper boundaries around protein crystal regions and good in focus images for high resolution images in reasonable time. FocusALL outperforms other methods on protein crystallization images and performs comparably well on other datasets such as retinal epithelial images and simulated datasets.

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Cited By

Dinc IDinc SSigdel MSigdel MPusey MAygun R(2017)Super-ThresholdingIEEE/ACM Transactions on Computational Biology and Bioinformatics10.1109/TCBB.2016.254281114:4(986-998)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1109/TCBB.2016.2542811
Lopez-Ramirez MLedesma-Carrillo LCabal-Yepez EBotella GRodriguez-Donate CLedesma S(2017)FPGA-based methodology for depth-of-field extension in a single imageDigital Signal Processing10.1016/j.dsp.2017.07.01470:C(14-23)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1016/j.dsp.2017.07.014

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cover image IEEE/ACM Transactions on Computational Biology and Bioinformatics

IEEE/ACM Transactions on Computational Biology and Bioinformatics Volume 13, Issue 2

March 2016

203 pages

ISSN:1545-5963

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Copyright © IEEE.

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 March 2016

Published in TCBB Volume 13, Issue 2

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Cited By

Dinc IDinc SSigdel MSigdel MPusey MAygun R(2017)Super-ThresholdingIEEE/ACM Transactions on Computational Biology and Bioinformatics10.1109/TCBB.2016.254281114:4(986-998)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1109/TCBB.2016.2542811
Lopez-Ramirez MLedesma-Carrillo LCabal-Yepez EBotella GRodriguez-Donate CLedesma S(2017)FPGA-based methodology for depth-of-field extension in a single imageDigital Signal Processing10.1016/j.dsp.2017.07.01470:C(14-23)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1016/j.dsp.2017.07.014

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